feat: initial stats-cohort-size v0.1.0 (stats.cohort_size@0.1.0)
Resolve the size of an addressee cohort (e.g. "Berliner KMU",
"Gastronomie deutschlandweit").
v0.1.0 ships a five-entry built-in lookup for the F∆I Law-Heatmap
pilot corpus:
berlin-kmu, de-kmu, gastro-de, handwerk-be, bauwirtschaft-be
Each entry carries (count, year, source, tier). Tier follows the
Studie §6.7 Regel-der-niedrigsten-Stufe: T1 when from DESTATIS
Unternehmensregister, T2 when from a Verband source.
Reuse-lens: any quantitative analysis that needs cohort sizing —
market research, audience targeting, public-health tracking.
Pure in-WASM, zero filesystem, zero network.
Reserved for next versions:
- 0.2: DESTATIS GENESIS-API adapter — requires
net: ["genesis.destatis.de"] permission. Interface stays
the same; the static lookup becomes the fallback when
the API is unreachable.
- 0.3: WZ-Code-resolved sub-cohorts (e.g. "berlin-kmu-wz56").
Signed-off-by: flemming-it <sf@flemming.it>
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Cargo.toml
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Cargo.toml
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[package]
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name = "stats_cohort_size"
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version = "0.1.0"
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edition = "2024"
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authors = ["Dr. Stefan Flemming <chain@flemming.ai>"]
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license = "Apache-2.0"
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publish = false
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description = "F∆I module — resolve cohort sizes for addressee populations"
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repository = "https://git.flemming.ws/chain-modules/stats-cohort-size"
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rust-version = "1.85"
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[lib]
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crate-type = ["cdylib", "rlib"]
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[dependencies]
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chain-module-sdk = { git = "https://git.flemming.ai/fai/chain-module-sdk-rust.git", branch = "main" }
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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[profile.release]
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opt-level = "s"
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lto = true
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codegen-units = 1
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strip = "symbols"
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[lints.rust]
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unsafe_op_in_unsafe_fn = "warn"
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[lints.clippy]
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unwrap_used = "deny"
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expect_used = "deny"
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panic = "deny"
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print_stdout = "deny"
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print_stderr = "deny"
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[workspace]
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